Literature DB >> 30022295

Evolutionary Perspectives of Genotype-Phenotype Factors in Leishmania Metabolism.

Abhishek Subramanian1,2, Ram Rup Sarkar3,4.   

Abstract

The sandfly midgut and the human macrophage phagolysosome provide antagonistic metabolic niches for the endoparasite Leishmania to survive and populate. Although these environments fluctuate across developmental stages, the relative changes in both these environments across parasite generations might remain gradual. Such environmental restrictions might endow parasite metabolism with a choice of specific genotypic and phenotypic factors that can constrain enzyme evolution for successful adaptation to the host. With respect to the available cellular information for Leishmania species, for the first time, we measure the relative contribution of eight inter-correlated predictors related to codon usage, GC content, gene expression, gene length, multi-functionality, and flux-coupling potential of an enzyme on the evolutionary rates of singleton metabolic genes and further compare their effects across three Leishmania species. Our analysis reveals that codon adaptation, multi-functionality, and flux-coupling potential of an enzyme are independent contributors of enzyme evolutionary rates, which can together explain a large variation in enzyme evolutionary rates across species. We also hypothesize that a species-specific occurrence of duplicated genes in novel subcellular locations can create new flux routes through certain singleton flux-coupled enzymes, thereby constraining their evolution. A cross-species comparison revealed both common and species-specific genes whose evolutionary divergence was constrained by multiple independent factors. Out of these, previously known pharmacological targets and virulence factors in Leishmania were identified, suggesting their evolutionary reasons for being important survival factors to the parasite. All these results provide a fundamental understanding of the factors underlying adaptive strategies of the parasite, which can be further targeted.

Entities:  

Keywords:  Codon usage; Evolutionary rate variation; Leishmania metabolism; Multi-functionality; Physiological flux-coupling; Principal component regression (PCR)

Mesh:

Substances:

Year:  2018        PMID: 30022295     DOI: 10.1007/s00239-018-9857-5

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  51 in total

1.  Metabolic flux is a determinant of the evolutionary rates of enzyme-encoding genes.

Authors:  Martino Colombo; Hafid Laayouni; Brandon M Invergo; Jaume Bertranpetit; Ludovica Montanucci
Journal:  Evolution       Date:  2013-09-19       Impact factor: 3.694

Review 2.  Systems-biology approaches for predicting genomic evolution.

Authors:  Balázs Papp; Richard A Notebaart; Csaba Pál
Journal:  Nat Rev Genet       Date:  2011-08-02       Impact factor: 53.242

3.  Aspartate transcarbamylase from Leishmania donovani. A discrete, nonregulatory enzyme as a potential chemotherapeutic site.

Authors:  T Mukherjee; M Ray; A Bhaduri
Journal:  J Biol Chem       Date:  1988-01-15       Impact factor: 5.157

Review 4.  Determinants of the rate of protein sequence evolution.

Authors:  Jianzhi Zhang; Jian-Rong Yang
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

5.  The role of phosphomannose isomerase in Leishmania mexicana glycoconjugate synthesis and virulence.

Authors:  A Garami; T Ilg
Journal:  J Biol Chem       Date:  2000-11-17       Impact factor: 5.157

6.  Evidence that trypanothione reductase is an essential enzyme in Leishmania by targeted replacement of the tryA gene locus.

Authors:  J Tovar; S Wilkinson; J C Mottram; A H Fairlamb
Journal:  Mol Microbiol       Date:  1998-07       Impact factor: 3.501

7.  The role of the mitochondrial glycine cleavage complex in the metabolism and virulence of the protozoan parasite Leishmania major.

Authors:  David A Scott; Suzanne M Hickerson; Tim J Vickers; Stephen M Beverley
Journal:  J Biol Chem       Date:  2007-11-02       Impact factor: 5.157

8.  Evolutionary rates and centrality in the yeast gene regulatory network.

Authors:  Richard Jovelin; Patrick C Phillips
Journal:  Genome Biol       Date:  2009-04-09       Impact factor: 13.583

9.  Genetic analysis of Leishmania donovani tropism using a naturally attenuated cutaneous strain.

Authors:  Wen Wei Zhang; Gowthaman Ramasamy; Laura-Isobel McCall; Andrew Haydock; Shalindra Ranasinghe; Priyanka Abeygunasekara; Ganga Sirimanna; Renu Wickremasinghe; Peter Myler; Greg Matlashewski
Journal:  PLoS Pathog       Date:  2014-07-03       Impact factor: 6.823

10.  Adaptive evolution of complex innovations through stepwise metabolic niche expansion.

Authors:  Balázs Szappanos; Jonathan Fritzemeier; Bálint Csörgő; Viktória Lázár; Xiaowen Lu; Gergely Fekete; Balázs Bálint; Róbert Herczeg; István Nagy; Richard A Notebaart; Martin J Lercher; Csaba Pál; Balázs Papp
Journal:  Nat Commun       Date:  2016-05-20       Impact factor: 14.919

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